Papers

18

Total Citations

160

H-Index

6

About

Arpan Pal is a leading researcher at the intersection of artificial intelligence, robotics, and industrial automation, with a focus on creating intelligent, human-aware systems for manufacturing and service environments. His work spans critical areas including AI-driven manufacturing optimization, human-robot collaboration, and edge computing for robotics. Pal’s most cited paper, “A critical review on applications of artificial intelligence in manufacturing” (2023, 62 citations), provides a comprehensive analysis of AI’s transformative role in Industry 4.0. He has pioneered approaches to enable robots to understand natural human conversation for task identification (15 citations) and developed human-like sensing techniques for remote inspection (13 citations). His contributions to cloud robotics include dynamic path selection for multi-robot wireless networks (11 citations) and knowledge-centric frameworks for conceptualizing robotic solutions (9 citations). Pal has also advanced practical applications such as vibration analysis using optical sampling (8 citations) and concept-based anomaly detection in retail for autonomous correction by mobile robots (5 citations). His recent work on task-agnostic distillation for edge foundation models (2024, 4 citations) addresses the growing need for efficient, low-energy AI deployment on edge devices. Through his innovative research, Pal is shaping the future of intelligent, collaborative robotics in industrial and commercial settings.

Research Focus

Key Achievements

6
H-Index
18
Papers
160
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A critical review on applications of artificial intelligence in manufacturing
62 citations · 2023
📈 Most Prolific Year: 2018 (5 Papers)
🤝 Key Collaborators: 56
🏛 Institutions: Tata Consultancy Services (India), Embedded Systems (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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